llava-v1.5-7b-hateful-memes-lora
This model is a fine-tuned version of llava-hf/llava-1.5-7b-hf on the None dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.18.1.dev0
- Transformers 5.0.0.dev0
- Pytorch 2.9.0+cu126
- Datasets 2.17.0
- Tokenizers 0.22.1
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Model tree for oke39/llava-v1.5-7b-hateful-memes-lora
Base model
llava-hf/llava-1.5-7b-hf